README.md

---
license: mit
language:
- en
metrics:
- accuracy
pipeline_tag: image-segmentation
widget:
  - src: >-
     https://tdcctv.data.one.gov.hk/AID01209.JPG
    example_title: Road cam 1
---


# Model Card for Smart-Traffic
![Sample of the segmentation preformace](https://huggingface.co/ottoykh/Smart-Traffic/resolve/8b1bd5ba716f6dfc1d9cc7d5afc6c00e336b597a/sample_seg.png)
This is a machine learning model designed for the Real-Time CCTV road traffic monitoring, use for the road traffic estimation and indexing.




#  Table of Contents

- [Model Card for Smart-Traffic](#model-card-for--model_id-)
- [Table of Contents](#table-of-contents)
- [Table of Contents](#table-of-contents-1)
- [Model Details](#model-details)
  - [Model Description](#model-description)


# Model Details

## Model Description

<!-- Provide a longer summary of what this model is/does. -->
This is a machine learning model designed for the Real-Time CCTV road traffic monitoring, use for the road traffic estimation and indexing.

- **Developed by:** Yu Kai Him Otto
- **Shared by [Optional]:** Yu Kai Him Otto
- **Model type:** Language model
- **Language(s) (NLP):** en
- **License:** mit
- **Parent Model:** More information needed
- **Resources for more information:** More information needed


# Model Card Authors [optional]

<!-- This section provides another layer of transparency and accountability. Whose views is this model card representing? How many voices were included in its construction? Etc. -->

Yu Kai Him Otto, Chan Ka Hin and Leung Yat Long

# Model Card Contact

More information needed

# How to Get Started with the Model

Use the code below to get started with the model.

<details>
<summary> Click to expand </summary>

More information needed

</details>